alexcasalboni/aws-lambda-power-tuning
Aws Lambda Power Tuning
该项目是 AWS Lambda 的性能优化器和资源基准测试工具。它通过测试各种内存配置来分析执行速度与成本之间的权衡，以确定最具成本效益的设置并最小化运营支出。
该工具利用 AWS Step Functions 编排器来自动化执行和收集跨不同功率级别的多个函数测试运行的数据。它通过注入自定义静态或远程数据并使用加权有效负载分布来模拟生产工作负载，以模仿真实世界的流量模式。
该套件涵盖了几个功能领域，包括迭代内存采样和基于指标的成本建模，以可视化性能权衡。它为临时函数版本和别名提供自动化资源清理、为受限内部资源提供私有网络配置，以及提供远程有效负载加载以绕过标准调用大小限制。
部署通过基础设施即代码（IaC）结构进行处理，以确保环境设置的一致性和可重复性。
Features
- Cloud Infrastructure Cost Optimization - Provides a tool for optimizing cloud function memory settings to minimize operational costs.
- Lambda Performance Optimizers - Optimizes the execution speed and cost of AWS Lambda functions by analyzing various memory configurations.
- Automated Memory Tuning - Automatically applies the most efficient memory configuration to a function version or alias based on benchmark results.
- Serverless Cost Modeling - Calculates precise operational costs per run based on cloud provider pricing, execution duration, and memory settings.
- Serverless Resource Tuning - Identifies the most efficient resource allocation for serverless functions to balance performance and operational cost.
- Serverless Resource Benchmarking - Runs automated test suites across different memory levels to visualize performance tradeoffs and execution duration.
- Step Functions Orchestration - Uses AWS Step Functions to coordinate the sequential and parallel execution of performance tests across different configurations.
- Memory Configuration Sampling - Executes the same function multiple times with varying memory settings to build a performance and cost dataset.
- Serverless Memory Optimization - Analyzes execution speed and cost across multiple memory settings to find the most efficient configuration.
- Memory Sampling Loops - Runs the target function repeatedly across a defined range of memory settings to collect metrics.
- Weighted Payload Simulation - Simulates production traffic by distributing test input payloads based on assigned relative probability weights.
- Cloud Resource Cleanups - Automatically removes temporary function versions and aliases after tuning cycles.
- Performance Tradeoff Visualizations - Provides graphical representations of the relationship between Lambda memory allocation, execution speed, and operational cost.
- Test Payload Processing - Allows the definition of static or remote data inputs as test cases for memory optimization.
- Workload Simulations - Mimics real-world traffic patterns by injecting weighted payloads to verify performance under realistic conditions.
- Infrastructure and Deployment - State machine for optimizing Lambda memory and power.
